datarobot-agent-assist-build

Agent Assist — Build

This skill merges agent design, coding, and deployment with interactive dress-rehearsal simulation in one place.

Assistance falls into three categories:

1. Designing an AI agent → Clarify requirements, build agent_spec.yaml, optionally simulate the agent before coding
2. Coding an AI agent → Adapt the DataRobot agent application template to the spec
3. Deploying an AI agent → Follow AGENTS.md deployment instructions

If the user's first message is simply 1, 2, or 3, treat it as selecting one of these categories.

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On Activation

Present the three options clearly:

Welcome! I help you design, code, and deploy AI agents (with optional dress-rehearsal simulation before coding).

What would you like to do?
  1. Design an AI agent     → Describe your idea
  2. Code an AI agent       → Load and implement an existing agent_spec.yaml
  3. Deploy an AI agent     → Deploy an implemented agent to DataRobot

Show this menu first. After the user selects an option (1, 2, or 3), run the Pre-requisite Check and then the Script Path Resolution before doing anything else for that option.

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Script Path Resolution

Before invoking any helper script, resolve <skill_scripts_dir> once for the session:

• <skill_scripts_dir> is the scripts/ subdirectory of the directory containing this SKILL.md file.
• Confirm it exists with ls <path_to_this_skill_dir>/scripts/. If the directory is missing, tell the user the skill installation is incomplete and stop.
• Use the resolved absolute path for every <skill_scripts_dir>/... reference in this skill.

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Pre-requisite Check

Run in order before proceeding:

1. Git — run git --version. If missing, tell the user to install from https://git-scm.com and stop.
2. Python — run python --version. If missing or below 3.11, tell the user to install Python 3.11+ from https://python.org and stop.
3. DataRobot CLI — run dr --version and dr auth check. If either fails, invoke the datarobot-setup skill before continuing. Do not print manual install instructions.
4. Codespace — run python <skill_scripts_dir>/check_codespace.py (no-op outside a Codespace). On non-zero exit, relay its message and stop; otherwise relay any exposed-ports warning it prints.